Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach

Bryan S. Graham, Guido W. Imbens, Geert Ridder

NBER Working Paper No. 16499
Issued in October 2010
NBER Program(s):   CH   ED   LS   TWP

In this paper we nonparametrically analyze the effects of reallocating individuals across social groups in the presence of social spillovers. Individuals are either 'high' or 'low' types. Own outcomes may vary with the fraction of high types in one's social group. We characterize the average outcome and inequality effects of small increases in segregation by type. We also provide a measure of average spillover strength. We generalize the setup used by Benabou (1996) and others to study sorting in the presence of social spillovers by incorporating unobserved individual- and group-level heterogeneity. We relate our reallocation estimands to this theory. For each estimand we provide conditions for nonparametric identification, propose estimators, and characterize their large sample properties. We also consider the social planner's problem. We illustrate our approach by studying the effects of sex segregation in classrooms on mathematics achievement.

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Acknowledgments

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